DraftToDone.io
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AI publishing software

Create publish-ready books with one AI publishing workflow.

DraftToDone is being built for indie publishers, authors and operators who want a controlled system for manuscript generation, cover packaging, title research, KDP metadata and catalog quality assurance.

AI publishing softwareKDP automation softwareAI book generatorAI book cover generatorbook metadata generator
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At a glance

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This page
DraftToDone is AI publishing software for creating manuscripts, book covers, KDP metadata and repeatable catalog workflows from one controlled pipeline.
What it is
AI publishing software that turns one niche brief into a complete Amazon KDP book package.
Who it is for
Indie publishers, self-published authors and KDP catalog operators who publish repeatedly.
What you get
Full manuscript, front/spine/back cover, KDP title, description and 7 backend keywords, plus a verified pen name.
Time per book
Roughly 30 to 45 minutes of server-side generation. Closing the tab does not lose the book.
Price
EUR 14.99 per week for 6 book credits, or EUR 390 per year for 312 credits. 1 credit = 1 finished book. No free plan.
Agent access
An AI agent can run the whole workflow through the MCP server, the CLI or the REST API.
What it does not do
No guarantee of Amazon rankings, KDP approval or sales. You review every file and publish from your own KDP account with the required AI-content disclosure.

Is this the right fit?

In one sentence: DraftToDone is AI publishing software that turns one niche brief into a complete Amazon KDP package: manuscript, full wrap cover and listing metadata.

Best for

  • Best for indie publishers who want one controlled pipeline instead of five disconnected tools.
  • Best for operators running a repeatable KDP catalog rather than a single title.
  • Best when the manuscript, the cover and the metadata have to agree with each other.

Not for

  • Not for novelists who want to write every sentence themselves.
  • Not for a single one-off book if a weekly subscription makes no sense.
  • Not an Amazon uploader: you publish from your own KDP account and disclose AI use.

How it differs

  • Unlike a chat window that returns text, the pipeline returns the whole product: manuscript, front/spine/back cover, title, description and 7 backend keywords.
  • Without one workflow, the cover, the title and the keywords are decided in three places and rarely tell the reader the same story.
  • Volume vs catalog quality: the system is built around a review gate per book, not around publishing as many files as possible.

What does AI publishing software cover from idea to upload?

Instead of stitching together prompts, spreadsheets and design files, DraftToDone is designed around the whole publishing pipeline.

  • Niche and reader-promise brief
  • Outline and manuscript generation
  • Front cover, spine and back cover direction
  • SEO-ready title, subtitle, description and keywords

Catalog quality gates, not content spam at volume

A publishing system should make every book easier to review, improve and position. DraftToDone focuses on repeatable quality gates rather than blind volume.

  • Chapter-level acceptance criteria
  • Metadata alignment checks
  • Cover and thumbnail QA
  • Catalog notes for future optimization

How do metadata and cover signals make a book findable?

Search visibility starts before upload. The product workflow connects reader intent, book promise, metadata and cover signals so the final listing is easier to understand.

  • Keyword clusters by reader intent
  • Descriptions written for conversion
  • Consistent author and series positioning
  • Structured launch and post-launch reviews

The guides behind this page

Each decision this page automates, explained step by step.

Workflow

Map the full workflow from niche idea to ready-to-upload book

AI book publishing workflow: from niche idea to ready-to-upload book

Operations

Run a multi-title catalog without rebuilding the process each time

Publishing catalog operations: scale without losing quality

Launch

Check metadata, files and pricing before the first upload

KDP book launch checklist: metadata, files, pricing and first optimization pass

Automation

Let an AI agent drive the publishing pipeline through MCP, CLI or API

How an AI agent can run a book-publishing workflow (MCP, CLI or API)

FAQ

Is DraftToDone an AI book generator or a publishing workflow?

Yes, but the goal is broader than generating text. DraftToDone is designed to help create the manuscript, cover direction, metadata and quality workflow needed for a publish-ready book.

Can AI publishing software help with Amazon KDP SEO?

The workflow is built around reader intent, titles, descriptions, keyword clusters and category fit, which are core parts of KDP discoverability.

Does AI publishing software guarantee book sales?

No software can guarantee rankings or sales. It can improve the quality, consistency and discoverability signals of the publishing process.

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Tools

KDP royalty calculator

Estimate KDP royalties before you choose a book price.

AI book cover generator

Generate a print-ready book cover, front to back.

Book description generator

Write the Amazon book description that actually sells the book.

Book title generator

Generate book titles and subtitles built to be clicked and found.

AI book generator

Generate a full book manuscript with AI, from outline to last chapter.

KDP keyword tool

Find and fill every keyword a book should target on Amazon.

Best AI book generator

The best AI book generator is the one that ships the whole KDP package.

KDP book generator

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